Kevin S. Chan

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Edge-clouds provide a promising new approach to significantly reduce network operational costs by moving computation closer to the edge. A key challenge in such systems is to decide where and when services should be migrated in response to user mobility and demand variation. The objective is to optimize operational costs while providing rigorous performance(More)
Public key management in mobile ad hoc networks (MANETs) has been studied for several decades. Yet no single solution has completely resolved well known design challenges resulting from the unique characteristics of MANETs. These challenges include no centralized trusted entities, resource constraints, and high security vulnerabilities. This work proposes a(More)
The concept of trust and/or trust management has received considerable attention in engineering research communities as trust is perceived as the basis for decision making in many contexts and the motivation for maintaining long-term relationships based on cooperation and collaboration. Even if substantial research effort has been dedicated to addressing(More)
Resource or task assignment problems have been studied extensively in military network environments as efficient and effective resource allocation is the key to successful mission completion. However, existing works on asset‐task assignment problems are based only on the best match between functionalities of a node and requirements of a task. We propose a(More)
We study the dynamic service migration problem in mobile edge-clouds that host cloud-based services at the network edge. This offers the benefits of reduction in network overhead and latency but requires service migrations as user locations change over time. It is challenging to make these decisions in an optimal manner because of the uncertainty in node(More)
Mobile micro-cloud is an emerging technology in distributed computing, which is aimed at providing seamless computing/data access to the edge of the network when a centralized service may suffer from poor connectivity and long latency. Different from the traditional cloud, a mobile micro-cloud is smaller and deployed closer to users, typically attached to a(More)
Consensus algorithms permit the computation of global statistics via local communications and without centralized control. We extend previous results by taking into account fading and unidirectional links in ring and random 2-D topologies. We study conditions for convergence and present simulation results to verify the analytical results in this paper. We(More)
Most of the work on opinion dynamics models focuses on the case of two or three opinion types. We consider the case of an arbitrary number of opinions in the mean field case of the naming game model in which it is assumed the population is infinite and all individuals are neighbors. A particular challenge of the naming game model is that the number of(More)
In this paper, we present a unique study of two successful methods for computing message reliability. The first method is based on machine learning and attempts to find a predictive model based on network features. This method is generally geared towards assessing credibility of messages and is able to generate high recall results. The second method is(More)
Public key management in mobile ad hoc networks (MANETs) has been studied for several decades. However, the unique characteristics of MANETs have imposed great challenges in designing a fully distributed public key management protocol under resource-constrained MANET environments. These challenges include no centralized trusted entities, resource(More)